The Symptom Monitoring with Feedback Trial (SWIFT): protocol for a registry-based cluster randomised controlled trial in haemodialysis

Lavern Greenham, Paul N Bennett, Kathryn Dansie, Andrea K Viecelli, Shilpanjali Jesudason, Rebecca Mister, Brendan Smyth, Portia Westall, Samuel Herzog, Chris Brown, William Handke, Suetonia C Palmer, Fergus J Caskey, Cecile Couchoud, John Simes, Stephen P McDonald, Rachael L Morton, Lavern Greenham, Paul N Bennett, Kathryn Dansie, Andrea K Viecelli, Shilpanjali Jesudason, Rebecca Mister, Brendan Smyth, Portia Westall, Samuel Herzog, Chris Brown, William Handke, Suetonia C Palmer, Fergus J Caskey, Cecile Couchoud, John Simes, Stephen P McDonald, Rachael L Morton

Abstract

Background: Kidney failure prevalence is increasing worldwide. Haemodialysis, peritoneal dialysis or kidney transplantation are undertaken to extend life with kidney failure. People receiving haemodialysis commonly experience fatigue, pain, nausea, cramping, itching, sleeping difficulties, anxiety and depression. This symptom burden contributes to poor health-related quality of life (QOL) and is a major reason for treatment withdrawal and death. The Symptom monitoring WIth Feedback Trial (SWIFT) will test the hypothesis that regular symptom monitoring with feedback to people receiving haemodialysis and their treating clinical team can improve QOL.

Methods: We are conducting an Australia and New Zealand Dialysis and Transplant (ANZDATA) registry-based cluster randomised controlled trial to determine the clinical- and cost-effectiveness at 12 months, of 3-monthly symptom monitoring using the Integrated Palliative Outcome Scale-Renal (IPOS-Renal) survey with clinician feedback, compared with usual care among adults treated with haemodialysis. Participants complete symptom scoring using a tablet, which are provided to participants and to clinicians. The trial aims to recruit 143 satellite haemodialysis centres, (up to 2400 participants). The primary outcome is change in health-related QOL, as measured by EuroQol 5-Dimension, 5-Level (EQ-5D-5L) instrument. Secondary outcomes include overall survival, symptom severity (including haemodialysis-associated fatigue), healthcare utilisation and cost-effectiveness.

Discussion: SWIFT is the first registry-based trial in the Australian haemodialysis population to investigate whether regular symptom monitoring with feedback to participants and clinicians improves QOL. SWIFT is embedded in the ANZDATA Registry facilitating pragmatic recruitment from public and private dialysis clinics, throughout Australia. SWIFT will inform future collection, storage and reporting of patient-reported outcome measures (PROMs) within a clinical quality registry. As the first trial to rigorously estimate the efficacy and cost-effectiveness of routine PROMs collection and reporting in haemodialysis units, SWIFT will provide invaluable information to health services, clinicians and researchers working to improve the lives of those with kidney failure.

Trial registration: Australian New Zealand Clinical Trials Registry ACTRN12620001061921 . Registered on 16 October 2020.

Keywords: Chronic kidney disease; Cluster and randomised controlled trial; Haemodialysis; Kidney replacement therapy; Patient-reported outcomes; Quality of life; Registry; Renal dialysis.

Conflict of interest statement

The authors declare that they have no competing interests.

© 2022. The Author(s).

Figures

Fig. 1
Fig. 1
Trial schema for SWIFT
Fig. 2
Fig. 2
How kidney registries could use their capabilities to provide an infrastructure for facilitating large-scale collection of PROMs to support individual patient management and other purposes for multiple stakeholders

References

    1. Agarwal A, et al. Patient-reported outcome measures (PROMs) to guide clinical care: recommendations and challenges. Med J Aust. 2022;216(1):9–11. doi: 10.5694/mja2.51355.
    1. Bello AK, et al. Global variation in kidney care: national and regional differences in the care and management of patients with kidney failure. Kidney Int Suppl. 2011;11(2):e1–e3. doi: 10.1016/j.kisu.2020.11.003.
    1. Jager KJ, et al. A single number for advocacy and communication-worldwide more than 850 million individuals have kidney diseases. Kidney Int. 2019;96(5):1048–1050. doi: 10.1016/j.kint.2019.07.012.
    1. Liyanage T, et al. Worldwide access to treatment for end-stage kidney disease: a systematic review. Lancet. 2015;385(9981):1975–1982. doi: 10.1016/S0140-6736(14)61601-9.
    1. ANZDATA Registry. 43rd Report, Chapter 4: Haemodialysis. 2020; . Accessed 2 Jan 2022.
    1. Australian Institute of Health and Welfare, Cancer in Australia, Cancer series no.119. 2019, AIHW: Canberra. . Accessed 2 Jan 2022.
    1. ANZDATA Registry. 43rd Report, Chapter 5: Peritoneal dialysis. 2020. . Accessed 2 Jan 2022.
    1. Cox KJ, et al. Symptoms among patients receiving in-center hemodialysis: a qualitative study. Hemodial Int. 2017;21(4):524–533. doi: 10.1111/hdi.12521.
    1. Wyld M, et al. A systematic review and meta-analysis of utility-based quality of life in chronic kidney disease treatments. PLoS Med. 2012;9(9):e1001307. doi: 10.1371/journal.pmed.1001307.
    1. Morton, R. and W. A, Quality of life in chronic kidney disease, in Management of chronic kidney disease, a clinician’s guide, M. Arici, Editor. 2014, Springer Heidelberg. . Accessed 2 Jan 2022.
    1. ANZDATA Registry. 43rd Report, Chapter 2: Prevalence of renal replacement therapy for end stage kidney disease. 2020; . Accessed 2 Jan 2022.
    1. Smyth B, et al. Varying association of extended hours dialysis with quality of life. Clin J Am Soc Nephrol. 2019;14(12):1751–1762. doi: 10.2215/CJN.06800619.
    1. Basch E, et al. Overall survival results of a trial assessing patient-reported outcomes for symptom monitoring during routine cancer treatment. JAMA. 2017;318(2):197–198. doi: 10.1001/jama.2017.7156.
    1. Temel JS, et al. Early palliative care for patients with metastatic non-small-cell lung cancer. N Engl J Med. 2010;363(8):733–742. doi: 10.1056/NEJMoa1000678.
    1. Davison SN, et al. Executive summary of the KDIGO Controversies Conference on Supportive Care in Chronic Kidney Disease: developing a roadmap to improving quality care. Kidney Int. 2015;88(3):447–459. doi: 10.1038/ki.2015.110.
    1. Duncanson E, et al. Feasibility and acceptability of e-PROMs data capture and feedback among patients receiving haemodialysis in the Symptom monitoring WIth Feedback Trial (SWIFT) pilot: protocol for a qualitative study in Australia. BMJ Open. 2020;10(11):e039014. doi: 10.1136/bmjopen-2020-039014.
    1. Viecelli A, et al. MO037 Symptom Monitoring with Feedback Trial (SWIFT) pilot to explore the feasibility and acceptability of electronic patient reported outcome measures (E-PROMS) data capture and feedback. Nephrol Dial Transplant. 2020;35(Supplement_3):gfaa140–MO037. . Accessed 2 Jan 2022.
    1. Chan AW, et al. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346:e7586. doi: 10.1136/bmj.e7586.
    1. Husereau D, et al. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement. Int J Technol Assess Health Care. 2013;29(2):117–122. doi: 10.1017/S0266462313000160.
    1. Bennett PN. Satellite dialysis nursing: technology, caring and power. J Adv Nurs. 2011;67(1):149–157. doi: 10.1111/j.1365-2648.2010.05474.x.
    1. Damasiewicz MJ, Polkinghorne KR. Global dialysis perspective: Australia. Kidney360. 2020;1(1):48. doi: 10.34067/KID.0000112019.
    1. Morton RL, et al. Use of patient-reported outcome measures and patient-reported experience measures in renal units in Australia and New Zealand: a cross-sectional survey study. Nephrology. 2020;25(1):14–21. doi: 10.1111/nep.13577.
    1. Raj R, et al. Validation of the IPOS-Renal symptom survey in advanced kidney disease: a cross-sectional study. J Pain Symptom Manage. 2018;56(2):281–287. doi: 10.1016/j.jpainsymman.2018.04.006.
    1. Brown MA, et al. ANZSN renal supportive care guidelines 2013. Nephrology. 2013;18(6):401–454. doi: 10.1111/nep.12065.
    1. ANZDATA Registry. Mortality in ESKD, Chapter 3. ANZDATA Report 2020. 2020; Available from: . Accessed 2 Jan 2022.
    1. Jesudason S, et al. SUN-095 patient reported outcome measures over the first three months of dialysis: interim results from the Multidisciplinary Assessment at Dialysis Entry (MADE) study. Kidney Int Rep. 2019;4(7):S195–S196.
    1. Ju A, et al. Validation of a core patient-reported outcome measure for fatigue in patients receiving hemodialysis: the SONG-HD fatigue instrument. Clin J Am Soc Nephrol. 2020;15(11):1614–1621. doi: 10.2215/CJN.05880420.
    1. Tong A, et al. Establishing core outcome domains in hemodialysis: report of the Standardized Outcomes in Nephrology-Hemodialysis (SONG-HD) consensus workshop. Am J Kidney Dis. 2017;69(1):97–107. doi: 10.1053/j.ajkd.2016.05.022.
    1. Wang S. WTP threshold may influence ICERs for regulatory decisions. PharmacoEconomics Outcomes News. 2018;800:33–37. doi: 10.1007/s40274-018-4852-z.
    1. Briggs AH, Wonderling DE, Mooney CZ. Pulling cost-effectiveness analysis up by its bootstraps: a non-parametric approach to confidence interval estimation. Health Econ. 1997;6(4):327–340. doi: 10.1002/(SICI)1099-1050(199707)6:4<327::AID-HEC282>;2-W.
    1. Janssen D, et al. Daily symptom burden in end-stage chronic organ failure: a systematic review. Palliat Med. 2008;22(8):938–948. doi: 10.1177/0269216308096906.
    1. van der Veer SN, Couchoud C, Morton RL. The role of kidney registries in expediting large-scale collection of patient-reported outcome measures for people with chronic kidney disease. Clin Kidney J. 2021;14(6):1495–1503. doi: 10.1093/ckj/sfab061.

Source: PubMed

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